https://github.com/oppodelldog/a-genetic-algorithm

https://github.com/oppodelldog/a-genetic-algorithm

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/oppodelldog/a-genetic-algorithm
• Owner: Oppodelldog
• License: mit
• Created: 2020-04-03T13:46:55.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2023-04-01T12:23:30.000Z (about 2 years ago)
• Last Synced: 2025-01-02T19:52:47.019Z (5 months ago)
• Language: Go
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# a genetic algorithm

> written in Go

I recently watched some videos on youtube on the topic "genetic algorithm" and decided to

implement the described solution for fun in Go.

It's the **Shakespeare Monkey Example**

If you are interested in this topic I recommend the following youtube Playlist:  

Jump on **The Coding Train**: https://youtu.be/9zfeTw-uFCw     

This is awesome work, I really appreciate that this man offers open-source, code and free video tutorials.

 

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## implementation in go

* [population.go](population.go) contains the implementation of the genetic algorithm.

* [cmd/main.go](cmd/main.go) contains the main function and some utilization of the population.

Basically that's all. There's a Population interface used by the main function so there is already

a seam for extending, playing around or testing different strategies.